Portfolio Risk Quantitative Modeler, Associate - Aladdin Financial Engineering

About this roleBlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. Aladdin Financial Engineering (AFE) AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics.  The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin. AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings. Role We are seeking a hands-on Quantitative Associate to join the Portfolio Risk team within AFE. This role is ideal for someone who enjoys working deeply with data and code, has strong attention to detail, and is motivated to build practical, production-ready risk models and analytics used by real investment professionals.This is an individual contributor role focused on quantitative research, model development, testing, and implementation. Formal project management responsibilities are not required, but the role does require strong ownership of work, critical thinking, and the ability to collaborate effectively with researchers, engineers, and stakeholders across regions.The Portfolio Risk team develops and maintains a broad set of analytics, including:Multi-factor Linear risk modelsValue-at-Risk (VaR) methodologiesVolatility and covariance matrix estimationPortfolio stress testing and scenario analysisThese models are widely used across Aladdin and directly influence investment and risk management decisions. As a result, the team places strong emphasis on model rigor, governance, scalability, and transparency.This role also offers the opportunity to contribute directly to the team’s AI transformation journey, particularly in applying AI and automation to modernize and scale model governance workflows.What You Will DoResearch, design, and back-test portfolio risk models using Python-based infrastructureWork hands-on with large and complex financial datasets, ensuring data quality and robustness of resultsCollaborate closely with software engineers to test, productionize, and maintain modelsSupport existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clientsDevelop and enhance testing, validation, back-testing, and quality-control frameworksContribute to the team’s AI transformation journey, with a focus on applying AI, ML, and automation to model governance processes, such as:Model validation and back-testingTesting and quality controlDocumentation and reproducibility checksResearch-to-production code migrationClearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiencesSkills & Qualifications:  Master’s degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or EngineeringStrong hands-on programming experience, primarily in Python (R a plus)Experience working with large datasets and applying statistical, econometric, or quantitative techniquesSolid understanding of financial markets, financial products, and basic economicsStrong analytical and problem-solving skills with high attention to detailClear written and verbal communication skills in EnglishAbility to work effectively in a collaborative, team-oriented environmentCompetencies: Critical thinking and intellectual curiosityStrong ownership of work and accountability for qualityAbility to translate complex quantitative ideas into practical, usable solutionsComfort working across disciplines (quant research, engineering, risk, product)Interest in building robust, scalable, and well-governed analytical systemsInnovative thinking balanced with sound judgment and practicalityIs a plus…Exposure to machine learning and AI techniques, particularly as applied to financial or time-series dataExperience applying AI, ML, or automation to model lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migrationKnowledge of fixed income and/or equity risk factor modelsUnderstanding of portfolio theory and risk analyticsExperience designing rigorous testing and back-testing frameworksFamiliarity with building scalable and repeatable research or modeling processesStrong software engineering practices (clean, well-tested code)Experience with Unix/Linux and Git For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department